Xudong Sun

According to our database, Xudong Sun authored at least 19 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

DomainLab: A modular Python package for domain generalization in deep learning.

Xudong Sun, Carla Feistner, Alexej Gossmann, George Schwarz, Rao Muhammad Umer, Lisa Beer, Patrick Rockenschaub, Rahul Babu Shrestha, Armin Gruber, Nutan Chen, Sayedali Shetab Boushehri, Florian Buettner, Carsten Marr

CoRR, 2024

M-HOF-Opt: Multi-Objective Hierarchical Output Feedback Optimization via Multiplier Induced Loss Landscape Scheduling.

Xudong Sun, Nutan Chen, Alexej Gossmann, Yu Xing, Carla Feistner, Emilio Dorigatt, Felix Drost, Daniele Scarcella, Lisa Beer, Carsten Marr

CoRR, 2024

2023

Joint Learning of Network Topology and Opinion Dynamics Based on Bandit Algorithms.

Yu Xing, Xudong Sun, Karl Henrik Johansson

CoRR, 2023

Deep Unsupervised Clustering for Conditional Identification of Subgroups Within a Digital Pathology Image Set.

Mariia Sidulova, Xudong Sun, Alexej Gossmann

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Learning-based Design of Luenberger Observers for Autonomous Nonlinear Systems.

Muhammad Umar B. Niazi, John Cao, Xudong Sun, Amritam Das, Karl Henrik Johansson

Proceedings of the American Control Conference, 2023

2021

Machine learning model selection with multi-objective Bayesian optimization and reinforcement learning: case studies on functional data analysis, pipeline tuning and shifted distribution.

Xudong Sun

PhD thesis, 2021

2020

Benchmark for filter methods for feature selection in high-dimensional classification data.

Andrea Bommert, Xudong Sun, Bernd Bischl, Jörg Rahnenführer, Michel Lang

Comput. Stat. Data Anal., 2020

Performance deterioration of deep neural networks for lesion classification in mammography due to distribution shift: an analysis based on artificially created distribution shift.

Alexej Gossmann, Kenny H. Cha, Xudong Sun

Proceedings of the Medical Imaging 2020: Computer-Aided Diagnosis, 2020

2019

Benchmarking time series classification - Functional data vs machine learning approaches.

Florian Pfisterer, Laura Beggel, Xudong Sun, Fabian Scheipl, Bernd Bischl

CoRR, 2019

Resampling-based Assessment of Robustness to Distribution Shift for Deep Neural Networks.

Xudong Sun, Yu Wang, Alexej Gossmann, Bernd Bischl

CoRR, 2019

ReinBo: Machine Learning pipeline search and configuration with Bayesian Optimization embedded Reinforcement Learning.

Xudong Sun, Jiali Lin, Bernd Bischl

CoRR, 2019

Variational Resampling Based Assessment of Deep Neural Networks under Distribution Shift.

Xudong Sun, Alexej Gossmann, Yu Wang, Bernd Bischl

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019

Tutorial and Survey on Probabilistic Graphical Model and Variational Inference in Deep Reinforcement Learning.

Xudong Sun, Bernd Bischl

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019

ReinBo: Machine Learning Pipeline Conditional Hierarchy Search and Configuration with Bayesian Optimization Embedded Reinforcement Learning.

Xudong Sun, Jiali Lin, Bernd Bischl

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019

High Dimensional Restrictive Federated Model Selection with Multi-objective Bayesian Optimization over Shifted Distributions.

Xudong Sun, Andrea Bommert, Florian Pfisterer, Jörg Rahnenführer, Michel Lang, Bernd Bischl

Proceedings of the Intelligent Systems and Applications, 2019

Maximum Entropy-Regularized Multi-Goal Reinforcement Learning.

Rui Zhao, Xudong Sun, Volker Tresp

Proceedings of the 36th International Conference on Machine Learning, 2019

2018

A Lesson learned from PMF based approach for Semantic Recommender System.

Nidhi Kushwaha, Xudong Sun, Bharat Singh, O. P. Vyas

J. Intell. Inf. Syst., 2018

2017

First Investigations on Noisy Model-Based Multi-objective Optimization.

Daniel Horn, Melanie Dagge, Xudong Sun, Bernd Bischl

Proceedings of the Evolutionary Multi-Criterion Optimization, 2017

2016

SemPMF: Semantic Inclusion by Probabilistic Matrix Factorization for Recommender System.

Nidhi Kushwaha, Xudong Sun, O. P. Vyas, Artus Krohn-Grimberghe

Proceedings of the Trends in Practical Applications of Scalable Multi-Agent Systems, 2016